Queimadas INPE Getting Started: Data Access and Analysis (2026)

Getting started overview

Queimadas INPE provides extensive data on vegetation fires across South America, primarily focusing on Brazil. This data is made available through its official website, offering various interactive maps, reports, and downloadable datasets. The system is designed for public and academic use, making its resources freely accessible without requiring a traditional API key or developer account in the manner of commercial API platforms.

To begin using Queimadas INPE, users typically navigate to the official Queimadas INPE homepage to explore the available resources. The primary methods for data access include interactive web maps for real-time fire detection, statistical reports, and direct downloads of spatial data (such as shapefiles) and tabular data (like CSVs). Programmatic integration usually involves parsing these publicly available resources, rather than making calls to a RESTful API. This approach is common for public data portals focused on governmental or research dissemination.

The system's strength lies in its comprehensive historical archives and near real-time monitoring capabilities, which are crucial for environmental research, disaster management, and policy-making. Understanding how to navigate the website and interpret the various data formats is key to effectively utilizing Queimadas INPE's offerings.

Create an account and get keys

Queimadas INPE does not require users to create an account or obtain API keys for accessing its public data. The system operates on an open-access model, allowing direct access to its web interfaces and downloadable datasets without authentication. This approach aligns with its mission as a public service for environmental monitoring and research.

Developers and researchers can directly access the information without an API key. For instance, to view current fire hotspots, one can simply visit the Queimadas INPE web portal and interact with the live map. Similarly, historical data and specific reports are available for direct download. This eliminates the need for managing credentials, rate limits, or subscription tiers, simplifying the initial setup process significantly.

While there is no traditional API key, users interested in receiving updates or participating in community discussions might find value in monitoring official INPE announcements or related scientific forums. However, for data access itself, no registration or key generation is necessary. The emphasis is on broad accessibility rather than controlled programmatic interaction.

Your first request

Since Queimadas INPE does not offer a direct API for programmatic requests in the conventional sense, a "first request" typically involves navigating the web interface to view or download data. This section will guide you through accessing a recent fire event dataset, which serves as a practical equivalent to a first API call for this system.

Viewing Current Fire Data on the Web Portal

1. Navigate to the Portal: Open your web browser and go to the Queimadas INPE web portal.
2. Select a Region: On the interactive map, you can zoom in or pan to a specific region of interest, such as the Amazon biome or a particular state in Brazil.
3. Filter Data (Optional): The portal often provides filters for satellite source, time period, or fire intensity. Adjust these settings to refine the displayed fire points. For example, you might select "Last 24 hours" to see the most recent detections.
4. Inspect Fire Points: Click on individual fire points on the map to view detailed information, such as coordinates, detection time, satellite source, and associated biome. This interactive exploration provides immediate insights into fire activity.

Downloading a Sample Dataset

For a more programmatic approach, downloading a dataset and then parsing it locally is the typical workflow. Here's how to download a recent dataset of fire occurrences:

1. Access the Database Section: Go to the Queimadas INPE database download page.
2. Choose Parameters: You will typically find options to select a country, state, biome, satellite, and a date range. For a first request, select a recent month and choose "Brazil" as the country. You might also choose a specific satellite, such as AQUA or TERRA, which are common sources for fire detection data.
3. Select Output Format: The system usually offers various formats, including CSV, Shapefile (.SHP), and KML. For tabular data that can be easily parsed, select "CSV". For spatial analysis, "Shapefile" is suitable.
4. Initiate Download: Click the "Download" or "Generate Report" button. The system will compile the data and provide a link to download the file.
5. Process Data Locally: Once downloaded, you can open the CSV file in a spreadsheet program or use a scripting language (e.g., Python with pandas) to parse and analyze the data. For shapefiles, you would use GIS software like QGIS for spatial analysis.

An example of data you might find in a downloaded CSV includes columns like latitude, longitude, date_time, satellite, municipality, state, and biome. This data can then be used for custom visualizations, statistical analysis, or integration into other environmental models.

Common next steps

After successfully accessing and interpreting Queimadas INPE data, several common next steps can enhance your research or application:

Data Integration and Visualization

• GIS Software Integration: For spatial analysis, import downloaded shapefiles into Geographic Information System (GIS) software such like ArcGIS mapping services or QGIS. This allows for advanced mapping, overlaying fire data with other environmental layers (e.g., deforestation, protected areas), and performing spatial queries.
• Custom Dashboards: Develop custom dashboards using programming languages (e.g., Python with libraries like Matplotlib, Plotly, or Folium) to visualize fire trends, identify high-risk areas, or track specific events over time. This can involve parsing daily CSV downloads and updating a local database.
• Web Mapping Applications: Integrate Queimadas INPE data into custom web mapping applications using libraries like Leaflet or OpenLayers. This can provide interactive visualizations for specific projects or public outreach efforts.

Advanced Data Analysis

• Time-Series Analysis: Analyze historical fire data to identify seasonal patterns, long-term trends, and the impact of climate change or policy interventions. This often involves aggregating data over various time scales (weekly, monthly, annually).
• Correlation with Other Datasets: Combine Queimadas INPE data with other environmental datasets, such as precipitation, temperature, land cover change, or socio-economic indicators, to understand the drivers and impacts of fires. For example, correlating fire incidence with drought indices can reveal important relationships.
• Predictive Modeling: Utilize machine learning techniques on historical Queimadas INPE data, potentially combined with meteorological forecasts, to develop models for predicting future fire risk or identifying areas prone to ignition.

Staying Updated

• Monitor Official Announcements: Regularly check the Queimadas INPE website and related INPE news channels for updates to methodologies, data formats, or new analytical tools.
• Engage with the Community: Participate in scientific forums or research groups focused on environmental monitoring and remote sensing in South America to share insights and learn from others' experiences with the data.

Troubleshooting the first call

Since Queimadas INPE doesn't involve a traditional API or authentication, troubleshooting a "first call" primarily revolves around data access, download, and interpretation issues. Here are common challenges and their solutions:

Issue: Website is Slow or Unresponsive

• Cause: High traffic, server maintenance, or local network issues.
• Solution: Try accessing the site during off-peak hours. Check your internet connection. If the issue persists, it might be a server-side problem; check official INPE social media or news for announcements regarding system status.

Issue: Downloaded Files are Corrupt or Incomplete

• Cause: Interrupted download, server error during file generation, or browser caching issues.
• Solution: Clear your browser cache and cookies, then attempt the download again. Use a download manager if you have an unstable internet connection. If the issue persists across different browsers or machines, report the problem to INPE via their contact channels, if available.

Issue: Data Format Not Understood (e.g., Shapefile, KML)

• Cause: Lack of appropriate software or familiarity with geospatial data formats.
• Solution: For shapefiles, you need GIS software. QGIS is a free and open-source option. For KML files, Google Earth or most GIS software can open them. For CSV files, any spreadsheet program or programming language can parse them. Consult the Queimadas INPE documentation for details on file structures.

Issue: Data Appears Incorrect or Missing for a Specific Region/Time

• Cause: Incorrect filter parameters, satellite coverage limitations, or data processing delays.
• Solution: Double-check your selected filters (date range, country, state, biome, satellite). Be aware that satellite data might have gaps due to cloud cover or orbital paths. Data processing can also introduce a slight delay for near real-time products. Compare with other independent fire monitoring systems (e.g., NASA FIRMS) to cross-verify.

Issue: Difficulty Automating Data Retrieval

• Cause: No direct API, requiring custom scraping or parsing solutions.
• Solution: For programmatic access, you will need to implement web scraping techniques (e.g., using Python libraries like BeautifulSoup or Scrapy) to extract information from the HTML pages or to automate the download of files. This requires careful parsing of the website's structure, which can change over time. Alternatively, consider if the provided downloadable datasets meet your needs without real-time scraping.